iPad Pro 13-inch (M4)
Geekbench AI Score
9539
Single Precision Score
11143
Half Precision Score
10050
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 06 2025 03:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4398
818.0 IPS |
|
|
Image Classification (HP)
|
100% |
4810
894.5 IPS |
|
|
Image Classification (Q)
|
96% |
4506
841.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7116
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7922
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7595
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27779
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29754
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29434
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4535
359.7 IPS |
|
|
Object Detection (HP)
|
100% |
5146
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4726
377.2 IPS |
|
|
Face Detection (SP)
|
100% |
12608
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16567
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
13260
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20518
158.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21988
169.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20311
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57055
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66471
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64087
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11589
427.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11515
425.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10332
381.5 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2262
39.1 IPS |
